{"id":"W7131253671","doi":"10.25549/wpacards-c8-162339","title":"WPA household census for 713 SOUTH KERN AVE, Los Angeles County","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Data collection; Administration (probate law); American Community Survey; Value (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006749272,0.001224814,0.00106931,0.003210811,0.0006006855,0.001885899,0.001420089,0.0005158807,0.08345994],"category_scores_gemma":[0.004257622,0.0005998914,0.0005413402,0.009546833,0.0001854597,0.001271796,0.0009407435,0.001490192,0.095649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001897178,"about_ca_system_score_gemma":0.00381091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.134934,"about_ca_topic_score_gemma":0.1425925,"domain_scores_codex":[0.9991987,0.0001046366,0.0001114925,0.0002264214,0.0002576546,0.0001010312],"domain_scores_gemma":[0.9976171,0.0002723633,0.0002337935,0.000240849,0.001480864,0.0001550808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006704575,0.000004965374,0.0006750574,0.0001050919,0.000006831284,0.000006570365,0.00001119246,0.00004266557,0.000007047319,0.0002272941,0.9974554,0.001451248],"study_design_scores_gemma":[0.0000593662,0.000006568097,0.01457017,0.0003103487,0.00001914476,0.00002942146,0.0001842965,0.0001876424,0.00006137475,0.0004907221,0.9840649,0.00001608572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001148373,0.00005487301,0.0000434534,0.00004832916,0.00001504259,0.000008876475,0.9983609,0.00004386999,0.001309799],"genre_scores_gemma":[0.0005653988,0.0001553008,0.000151841,0.00004062965,0.00001215774,0.0001080408,0.9960843,0.00003821632,0.002843987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.134934,"threshold_uncertainty_score":0.2792013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467395694067541,"score_gpt":0.1725615958101574,"score_spread":0.157887638869482,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}